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    Systematic Bias in Land Surface Models 

    Source: Journal of Hydrometeorology:;2007:;Volume( 008 ):;issue: 005:;page 989
    Author(s): Abramowitz, Gab; Pitman, Andy; Gupta, Hoshin; Kowalczyk, Eva; Wang, Yingping
    Publisher: American Meteorological Society
    Abstract: A neural network?based flux correction technique is applied to three land surface models. It is then used to show that the nature of systematic model error in simulations of latent heat, sensible heat, and the net ecosystem ...
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    A Two-Big-Leaf Model for Canopy Temperature, Photosynthesis, and Stomatal Conductance 

    Source: Journal of Climate:;2004:;volume( 017 ):;issue: 012:;page 2281
    Author(s): Dai, Yongjiu; Dickinson, Robert E.; Wang, Ying-Ping
    Publisher: American Meteorological Society
    Abstract: The energy exchange, evapotranspiration, and carbon exchange by plant canopies depend on leaf stomatal control. The treatment of this control has been required by land components of climate and carbon models. Physiological ...
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    Study on the Method of Traffic Status Change Time on Urban Expressway 

    Source: Journal of Highway and Transportation Research and Development (English Edition):;2007:;Volume ( 002 ):;issue: 002
    Author(s): Wang Dian-hai; Dong Bin; Yang Shao-hui; Wang Ying-ping
    Publisher: American Society of Civil Engineers
    Abstract: A method of defining traffic status change time on urban expressway was studied. Traffic situation on the expressway was analyzed under two states: congestion and non-congestion. In accordance with the traffic flow parameter ...
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    Neural Error Regression Diagnosis (NERD): A Tool for Model Bias Identification and Prognostic Data Assimilation 

    Source: Journal of Hydrometeorology:;2006:;Volume( 007 ):;issue: 001:;page 160
    Author(s): Abramowitz, Gab; Gupta, Hoshin; Pitman, Andy; Wang, Yingping; Leuning, Ray; Cleugh, Helen; Hsu, Kuo-lin
    Publisher: American Meteorological Society
    Abstract: Data assimilation in the field of predictive land surface modeling is generally limited to using observational data to estimate optimal model states or restrict model parameter ranges. To date, very little work has attempted ...
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    Evaluating Global Land Surface Models in CMIP5: Analysis of Ecosystem Water- and Light-Use Efficiencies and Rainfall Partitioning 

    Source: Journal of Climate:;2018:;volume 031:;issue 008:;page 2995
    Author(s): Li, Longhui; Wang, Yingping; Arora, Vivek K.; Eamus, Derek; Shi, Hao; Li, Jing; Cheng, Lei; Cleverly, James; Hajima, T.; Ji, Duoying; Jones, C.; Kawamiya, M.; Li, Weiping; Tjiputra, J.; Wiltshire, A.; Zhang, Lu; Yu, Qiang
    Publisher: American Meteorological Society
    Abstract: AbstractWater and carbon fluxes simulated by 12 Earth system models (ESMs) that participated in phase 5 of the Coupled Model Intercomparison Project (CMIP5) over several recent decades were evaluated using three functional ...
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    DSpace software copyright © 2002-2015  DuraSpace
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